The inherent programmability of nucleic acids makes them a suitable candidate for engineering biological systems with tailored and dynamic functionalities. Our approach employs in silico design to optimize nucleic acid-based nanostructures, focusing on dynamic reconfiguration, enhanced cell uptake, and live cell imaging. We fine-tune design parameters using computational simulations, ensuring efficient performance. Characterization involves gel electrophoresis and atomic force microscopy to assess assembly efficiency and physical attributes. Live cell imaging reveals interactions with cells, aiding in understanding cellular responses and behavior. This comprehensive methodology enhances the development of functional nanotechnologies with applications in imaging and drug delivery.